NDLI: A method for constructing 3D traveling routes from GPS navigation data

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Content Provider	ACM Digital Library
Author	Greenfeld, Joshua Goren-Bar, Tom
Abstract	In this paper we present a novel algorithm for constructing 3D vector maps for off road navigation using GPS track recordings. The algorithm treats the GPS track recordings as a point cloud and performs track clustering by iteratively aggregating the point cloud. The aggregation is done by simulating attraction forces between samples forming groups of points that belong to the same trail. Next, it constructs clusters centers out of the groups and forms center-lines that connect the cluster centers to create a 3D graph representation. Graph enrichments such as junction clarification are also applied. We demonstrate the results of our algorithm on a simulated dataset of ten tracks for verification purposes and on a dataset of actual GPS tracks of mountain bike trails. An analysis of the geodetic accuracy of the algorithm solution is given using ground control points which were measured in the field.
Starting Page	91
Ending Page	100
Page Count	10
File Format	PDF
ISBN	9781450316958
DOI	10.1145/2442968.2442980
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-11-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	3d Mapping Gps
Content Type	Text
Resource Type	Article

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A method for constructing 3D traveling routes from GPS navigation data